ZipRecruiter

Log In

1

Causal Inference Machine Learning Postdoctoral Jobs

Instacart

OR · On-site

Expertise in causal inference with observational and experimental data. * Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras ...

Duke University

Postdoctoral Associate

Durham, NC

The Postdoctoral Associate will train under the primary mentorship of Dr. Tomi Akinyemiju , with ... Familiarity with causal inference methods or machine learning approaches * Demonstrated experience ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

The Postdoctoral Associate will train under the primary mentorship of Dr. Tomi Akinyemiju , with ... Familiarity with causal inference methods or machine learning approaches * Demonstrated experience ...

next page

Showing results 1-20

All JobsCausal Inference Machine Learning Postdoctoral Jobs

Causal Inference Machine Learning Postdoctoral information

See salary details

$35.5K

$54.2K

$61K

How much do causal inference machine learning postdoctoral jobs pay per year?

As of Jul 14, 2026, the average yearly pay for causal inference machine learning postdoctoral in the United States is $54,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $56,500.00 per year, depending on experience, location, and employer.

What is a Causal Inference Machine Learning Postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a Causal Inference Machine Learning Postdoctoral researcher, and why are they important?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by Causal Inference Machine Learning Postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

More about Causal Inference Machine Learning Postdoctoral jobs
What cities are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities with the most Causal Inference Machine Learning Postdoctoral job openings:
What states have the most Causal Inference Machine Learning Postdoctoral jobs? States with the most job openings for Causal Inference Machine Learning Postdoctoral jobs include:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs are:
Causal Inference Machine Learning Postdoctoral jobs near you
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 84% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $54,223 per year, or $26.1 per hour.
Postdoctoral Research Associate - Biostatistics

Postdoctoral Research Associate - Biostatistics

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Posted 28 days ago

St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

64th of 1,020 rated hospitals

Job description

A postdoctoral research associate position is available in the Department of Biostatistics
As a fellow you will join our faculty in the Department of Biostatistics and work closely with a biostatistics faculty collaborating with the Childhood Cancer Survivorship Program (CCSP). You will develop innovative biostatistical methods for childhood cancer survivorship research and collaborate with CCSP investigators. Biostatistics methods will include complex survival analysis, longitudinal analysis, machine learning, and causal inference. You will benefit from access to unique datasets and expertise from two of the world's largest pediatric survivorship studies, St. Jude Lifetime Cohort Study (SJLIFE) and the Childhood Cancer Survivor Study (CCSS), a top-ranked scientific environment, and superb benefits, mentoring, and professional development.
Eligibility
Successful applicants will have excellent communication skills and a Ph.D. in biostatistics, statistics, or a closely related field. Applicants must have experience in applied or method research in survival analysis, a strong computational background and demonstrate excellent written and verbal communication skills.
Job Posting Description:
St. Jude is seeking an outstanding candidate for a postdoctoral fellowship in biostatistics methods and applications involving pediatric cancer and catastrophic diseases.
A position is available in survival analysis, longitudinal data analysis, causal inference and predictive modeling using machine learning methods. St. Jude leads two of the world's largest pediatric survivorship research studies, St. Jude Lifetime Cohort Study (SJLIFE) and the Childhood Cancer Survivor Study (CCSS), and the largest pediatric cancer genome database, St. Jude Cloud.
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

What St. Jude Children's Research Hospital employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply